字节跳动算法实习生-抖音
实习兼职A196675地点:上海状态:招聘♡ 收藏
工作描述
任职要求 1、2027届本科及以上学历在读,计算机、软件工程等相关专业优先; 2、具备优秀的编码能力,扎实的数据结构和算法功底; 3、对推荐算法和机器学习有热情、乐于学习、思考和创新; 4、优秀的分析问题和解决问题的能力,有良好的沟通表达能力和团队精神; 5、熟悉机器学习、自然语言处理、数据挖掘中一项或多项,对推荐系统、计算广告、搜索引擎、CV、NLP、语音、LLM、AIGC等相关领域有经验者优先; 6、每周可实习4天以上,实习时间3个月以上。 工作职责 ByteIntern:面向2027届毕业生(2026年9月-2027年8月期间毕业),为符合岗位要求的同学提供转正机会。 团队介绍:Data-…
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包括英文材料
学历+
数据结构+
https://www.youtube.com/watch?v=8hly31xKli0
In this course you will learn about algorithms and data structures, two of the fundamental topics in computer science.
https://www.youtube.com/watch?v=B31LgI4Y4DQ
Learn about data structures in this comprehensive course. We will be implementing these data structures in C or C++.
https://www.youtube.com/watch?v=CBYHwZcbD-s
Data Structures and Algorithms full course tutorial java
算法+
https://roadmap.sh/datastructures-and-algorithms
Step by step guide to learn Data Structures and Algorithms in 2025
https://www.hellointerview.com/learn/code
A visual guide to the most important patterns and approaches for the coding interview.
https://www.w3schools.com/dsa/
机器学习+
https://www.youtube.com/watch?v=0oyDqO8PjIg
Learn about machine learning and AI with this comprehensive 11-hour course from @LunarTech_ai.
https://www.youtube.com/watch?v=i_LwzRVP7bg
Learn Machine Learning in a way that is accessible to absolute beginners.
https://www.youtube.com/watch?v=NWONeJKn6kc
Learn the theory and practical application of machine learning concepts in this comprehensive course for beginners.
https://www.youtube.com/watch?v=PcbuKRNtCUc
Learn about all the most important concepts and terms related to machine learning and AI.
NLP+
https://www.youtube.com/watch?v=fNxaJsNG3-s&list=PLQY2H8rRoyvzDbLUZkbudP-MFQZwNmU4S
Welcome to Zero to Hero for Natural Language Processing using TensorFlow!
https://www.youtube.com/watch?v=R-AG4-qZs1A&list=PLeo1K3hjS3uuvuAXhYjV2lMEShq2UYSwX
Natural Language Processing tutorial for beginners series in Python.
https://www.youtube.com/watch?v=rmVRLeJRkl4&list=PLoROMvodv4rMFqRtEuo6SGjY4XbRIVRd4
The foundations of the effective modern methods for deep learning applied to NLP.
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